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Produce and Consume Linked Data with Drupal!

by: Stéphane Corlosquet, Renaud Delbru, Tim Clark, Axel Polleres, and Stefan Decker

In: The Semantic Web - ISWC 2009, Vol. 5823Springer (2009) , p. 763--778.

Abstract

Currently a large number ofWeb sites are driven by Content Management Systems CMS which manage textual and multimedia content but also - inherently - carry valuable information about a site’s structure and content model. Exposing this structured information to the Web of Data has so far required considerable expertise in RDF and OWL modelling and additional programming effort. In this paper we tackle one of the most popular CMS: Drupal.We enable site administrators to export their site content model and data to theWeb of Data without requiring extensive knowledge on Semantic Web technologies. Our modules create RDFa annotations and – optionally – a SPARQL endpoint for any Drupal site out of the box. Likewise, we add the means to map the site data to existing ontologies on the Web with a search interface to find commonly used ontology terms. We also allow a Drupal site administrator to include existing RDF data from remote SPARQL endpoints on the Web in the site. When brought together, these features allow networked RDF Drupal sites that reuse and enrich Linked Data. We finally discuss the adoption of our modules and report on a use case in the biomedical field and the current status of its deployment.

BibTeX record

@inproceedings{corlosquet2009,
  abstract = {Currently a large number ofWeb sites are driven by Content Management
Systems (CMS) which manage textual and multimedia content but also -
inherently - carry valuable information about a site’s structure and content model.
Exposing this structured information to the Web of Data has so far required considerable
expertise in RDF and OWL modelling and additional programming effort.
In this paper we tackle one of the most popular CMS: Drupal.We enable site
administrators to export their site content model and data to theWeb of Data without
requiring extensive knowledge on Semantic Web technologies. Our modules
create RDFa annotations and – optionally – a SPARQL endpoint for any Drupal
site out of the box. Likewise, we add the means to map the site data to existing
ontologies on the Web with a search interface to find commonly used ontology
terms. We also allow a Drupal site administrator to include existing RDF data
from remote SPARQL endpoints on the Web in the site. When brought together,
these features allow networked RDF Drupal sites that reuse and enrich Linked
Data. We finally discuss the adoption of our modules and report on a use case in
the biomedical field and the current status of its deployment.},
  added-at = {2009-11-03T13:52:23.000+0100},
  author = {Corlosquet, St\'{e}phane and Delbru, Renaud and Clark, Tim and Polleres, Axel and Decker, Stefan},
  biburl = {http://www.bibsonomy.org/bibtex/23b428a134666aadb5042ee468c9986a3/ivan_herman},
  booktitle = {The Semantic Web - ISWC 2009},
  editor = {Bernstein, Abraham and Karger, David R. and Heath, Tom and Feigenbaum, Lee and Maynard, Diana and Motta, Enrico and Thirunarayan, Krishnaprasad},
  interhash = {9a43dde7a285627ee9c0791fbae94666},
  intrahash = {3b428a134666aadb5042ee468c9986a3},
  isbn = {978-3-642-04929-3},
  keywords = {drupal rdfa semanticweb swusage},
  location = {Heidelberg},
  pages = {763--778},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {2009-11-03T13:52:23.000+0100},
  title = {Produce and Consume Linked Data with Drupal!},
  volume = 5823,
  year = 2009
}

Endnote record

%0 Conference Paper
%1 corlosquet2009
%A Corlosquet, St\'{e}phane
%A Delbru, Renaud
%A Clark, Tim
%A Polleres, Axel
%A Decker, Stefan
%B The Semantic Web - ISWC 2009
%@ 978-3-642-04929-3
%D 2009
%E Bernstein, Abraham
%E Karger, David R.
%E Heath, Tom
%E Feigenbaum, Lee
%E Maynard, Diana
%E Motta, Enrico
%E Thirunarayan, Krishnaprasad
%I Springer
%K 
%P 763--778
%T Produce and Consume Linked Data with Drupal!
%V 5823
%X Currently a large number ofWeb sites are driven by Content Management
Systems (CMS) which manage textual and multimedia content but also -
inherently - carry valuable information about a site’s structure and content model.
Exposing this structured information to the Web of Data has so far required considerable
expertise in RDF and OWL modelling and additional programming effort.
In this paper we tackle one of the most popular CMS: Drupal.We enable site
administrators to export their site content model and data to theWeb of Data without
requiring extensive knowledge on Semantic Web technologies. Our modules
create RDFa annotations and – optionally – a SPARQL endpoint for any Drupal
site out of the box. Likewise, we add the means to map the site data to existing
ontologies on the Web with a search interface to find commonly used ontology
terms. We also allow a Drupal site administrator to include existing RDF data
from remote SPARQL endpoints on the Web in the site. When brought together,
these features allow networked RDF Drupal sites that reuse and enrich Linked
Data. We finally discuss the adoption of our modules and report on a use case in
the biomedical field and the current status of its deployment.